Implementation of Machine Learning in Education

Education Technology Insights | Wednesday, May 22, 2019

FREMONT, CA: Machine learning (ML) and artificial intelligence (AI) are revolutionizing the education sector, giving rise to new and innovative teaching approaches. The evolving technologies have personalized teaching and enhanced opportunities for student engagement. 

ML and AI have offered great promises in the education sector, leading to the development of artificial instructors, virtual tutors, intelligent delivery systems, interactive content, among other elements. It has also facilitated the introduction of cloud-based classrooms, e-books, smart assessments, and much more.

The implementation of AI and ML in the classroom has enhanced management and scheduling, making it easier for educators to hasten the mundane tasks and pay closer attention to areas where the human touch is required.

The adaptive learning technology offers an excellent opportunity for educators to employ adaptive learning techniques in the classroom. The adaptive learning system analyses the performance of the student and assesses their ability. Based on the conclusion, educators can alter their teaching methods to suit the capability of the students.

Teachers can utilize learning analytics through ML to process complex data and select relevant content. Computers can sift through extensive amounts of information and content, helping educators in enhancing the learning and teaching process.

The deep learning feature of ML can examine the past data and experiences to forecast future occurrences. Predictive analytics can study the previous data of the students such as cumulative records to draw projections of future test scores of the students. It can also be used to evaluate student assignments and tests impartially and accurately with minimum human guidance.

Machine Learning techniques can also be leveraged to design a personalized curriculum for each student, depending on their individual experiences. The educational model of personalized learning will enable the students to direct their learning and choose their preferred subjects.

Several colleges and universities are leveraging virtual reality (VR) and augmented reality (AR) to deliver life-like content for the students to understand History, Science, Geology, and other subjects better. It has enabled educators to use animation and image-driven content for student convenience.

With the growth of digital platforms, students can access better content to understand their desired subjects. Cloud computing will also enable the students to assess themselves using tablets, smartphones, and other wearable digital devices. The convenient learning platforms are likely to drive the performance of students and help them grasp the concepts.

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